Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T10:03:58.971585Z
Paper Citation Record · LEDGER
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
As of 24 August 2026, this Paper Citation Record lists 100 of 287 outbound references and 100 inbound Pith citation observations for arXiv:2304.06364.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:12.075122Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 287 outbound references displayed
- verified exact49
- verified fuzzy47
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
61
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation eceddf27-e116-4dcd-b815-c38f60c9ab3e · outbound
This paper cites Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Reference 1
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.073690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4827eff9-f0fb-4b93-82b5-8a54479a91d1 · outbound
This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.500020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 49b18a50-e937-4c9f-ba12-bafaa6da526f · outbound
This paper cites 2023 , publisher =.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models 2023 , publisher =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.502296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9cdd79b2-8143-443d-bd91-395de9f7aba4 · outbound
This paper cites Communications of the ACM , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Communications of the ACM , volume=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.504555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2e3f82e7-0e7e-452b-ab13-456dd0af2239 · outbound
This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.507286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a5976102-e454-45f5-bef5-0209559807c9 · outbound
This paper cites Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.509285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 79e3a7cd-34d1-41b2-9b64-cc396f12cdae · outbound
This paper cites and Stoica, Ion and Xing, Eric P.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models and Stoica, Ion and Xing, Eric P
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.511624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5535508e-df1d-4a78-a604-d68fa1493f2d · outbound
This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.514004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d06274b9-7630-4fc8-8fe0-4804566d947e · outbound
This paper cites an unresolved cited work.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T10:03:59.516110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation be3ca354-5d71-494c-bc43-6a070579f636 · outbound
This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.518118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 10aab787-1efa-4875-a11b-5002787a5e8f · outbound
This paper cites Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.520446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0d52f2b8-57f3-4bf8-b613-295730b44438 · outbound
This paper cites Findings of the Association for Computational Linguistics: NAACL 2022 , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Findings of the Association for Computational Linguistics: NAACL 2022 , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.522415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c539422-9be9-407e-8675-e7109af50f3c · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.524430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12608aff-31cb-485d-9b4e-c874ca44d5f0 · outbound
This paper cites Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9--14, 2019, Proceedings, Part I , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9--14, 2019, Proceedings, Part I , pages=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.526825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cba04094-6373-4beb-9698-012f02899b02 · outbound
This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.529167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 69ae1072-7690-436f-ab93-049159b4b0cc · outbound
This paper cites Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.531582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 462520c3-05d5-427b-8e64-d395cd247bc9 · outbound
This paper cites Sort , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Sort , volume=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.533715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b720d16e-98a0-4801-a945-97598cce481d · outbound
This paper cites Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.535952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5fb47e10-56e5-4c44-8597-50c40d8cc416 · outbound
This paper cites Proceedings of AAAI , year=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of AAAI , year=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.538532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3053355e-a2ac-4da2-8062-f24b2f753da5 · outbound
This paper cites 2023 , eprint=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models 2023 , eprint=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.540859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82aaeada-ef03-40fd-8be4-3c3468aacd3a · outbound
This paper cites 2019 , publisher=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models 2019 , publisher=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.543220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9a1b4580-83ea-440c-a13f-f139d49f0e0b · outbound
This paper cites Advances in neural information processing systems , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Advances in neural information processing systems , volume=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.545617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f4235ec8-8e2f-4aa7-a7b0-782de6e941bb · outbound
This paper cites Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , pages=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.550600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 218d80ba-ae60-4f8a-8b1f-ac5ab851a87a · outbound
This paper cites Proceedings of the 44.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 44
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.553032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 913d7210-379c-4fc0-9c98-6ad335545145 · outbound
This paper cites Advances in neural information processing systems , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Advances in neural information processing systems , volume=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.555986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7ec90262-7d23-4b5b-9803-b25d309f2201 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Advances in Neural Information Processing Systems , volume=
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.558766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1598b0a2-3d28-47b5-baa4-6946bcaf02be · outbound
This paper cites Conference on Empirical Methods in Natural Language Processing , year=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Conference on Empirical Methods in Natural Language Processing , year=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.561172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5f51fdd2-55ab-46d8-a328-85303efbe9bb · outbound
This paper cites Available at SSRN , year=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Available at SSRN , year=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.563201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b69fc3a0-1349-4b6b-81c7-acf67b5ccbf8 · outbound
This paper cites 2022 , eprint=.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models 2022 , eprint=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.565636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5d3c9655-3c2c-4664-9efe-e4c9171ba505 · outbound
This paper cites Open llm leaderboard.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Open llm leaderboard
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:03:59.567594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f6b526fd-9ac2-4c98-9334-45eab891f8cb · outbound
This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Bowman, Gabor Angeli, Christopher Potts, and Christopher D
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.079975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 691af668-411c-430d-862d-bd1c621472ab · outbound
This paper cites Language models are few-shot learners.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Language models are few-shot learners
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.745209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 993a77f4-6bee-4aa9-9627-254650120217 · outbound
This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Sparks of Artificial General Intelligence: Early experiments with GPT-4
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.375746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b48e4779-0801-4903-a479-770cb5d1cfa4 · outbound
This paper cites Gonzalez, Ion Stoica, and Eric P.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Gonzalez, Ion Stoica, and Eric P
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.738102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f24f9ad8-ec22-4202-87ae-48da610e86b4 · outbound
This paper cites Chatgpt goes to law school.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Chatgpt goes to law school
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.749863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5f8f8b8b-7ecd-48e8-b82e-c32b3448bb82 · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Scaling Instruction-Finetuned Language Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.379161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1b303851-ad7f-403c-8d98-99f0d9f4fc6b · outbound
This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.405898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bf54d8b5-bc7b-4a6f-9f4b-0fb30d85ed55 · outbound
This paper cites S ent E val: An evaluation toolkit for universal sentence representations.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models S ent E val: An evaluation toolkit for universal sentence representations
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.732390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 33bc5809-39b6-4c1d-96f3-70b2dfa37f58 · outbound
This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 52
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.083891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a93b10d7-3fa4-4c49-9261-d467bef46773 · outbound
This paper cites Bold: Dataset and metrics for measuring biases in open-ended language generation.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Bold: Dataset and metrics for measuring biases in open-ended language generation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.752424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2a877411-e333-49a6-b87c-17c3ec2397e9 · outbound
This paper cites Glm: General language model pretraining with autoregressive blank infilling.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Glm: General language model pretraining with autoregressive blank infilling
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.754871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74321b76-3ab6-4a94-aa01-2c563ab54fc0 · outbound
This paper cites Introducing the HIPE 2022 Shared Task:Named Entity Recognition and Linking in Multilingual Historical Documents.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Introducing the HIPE 2022 Shared Task:Named Entity Recognition and Linking in Multilingual Historical Documents
Reference 55
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.087485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 17fef00c-fb8a-49b0-8274-5f2caa630e97 · outbound
This paper cites ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:03:59.401936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5ef4eacd-2452-4ba7-9353-6ff6c347e65f · outbound
This paper cites Measuring mathematical problem solving with the math dataset.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Measuring mathematical problem solving with the math dataset
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.709419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bf17a0e3-d25e-4d47-a60b-66fa52e7268b · outbound
This paper cites Measuring Massive Multitask Language Understanding.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Measuring Massive Multitask Language Understanding
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.361824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 11fd4998-b610-4a65-b24d-36b34abf0ca1 · outbound
This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov
Reference 59
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.090511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7436fb72-2b7d-4a81-9515-a5c7e6526867 · outbound
This paper cites Solving quantitative reasoning problems with language models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Solving quantitative reasoning problems with language models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.718709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 71fd7756-0d77-4e79-98c8-079e786055e0 · outbound
This paper cites Holistic Evaluation of Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Holistic Evaluation of Language Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.393937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5afb741b-c594-49c9-b21f-5d1f3cd3f1de · outbound
This paper cites Program induction by rationale generation: Learning to solve and explain algebraic word problems.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Program induction by rationale generation: Learning to solve and explain algebraic word problems
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.716622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 492a83d3-6c7b-4d4d-abe2-073dc79102e7 · outbound
This paper cites Logiqa: a challenge dataset for machine reading comprehension with logical reasoning.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Logiqa: a challenge dataset for machine reading comprehension with logical reasoning
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.742853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8cc1fb61-b6e1-44a5-af57-97a2d314fdca · outbound
This paper cites Rebooting AI: Building artificial intelligence we can trust.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Rebooting AI: Building artificial intelligence we can trust
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.706679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74af0108-3cd6-40ce-b897-eaeba7dceb9f · outbound
This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models The Natural Language Decathlon: Multitask Learning as Question Answering
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.370251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 06e8bd09-ba43-41ea-a2c2-61486f56a500 · outbound
This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.747617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d1ac8ec6-ae06-4a8b-904c-f91c8b6cb2e4 · outbound
This paper cites Gpt-4 technical report.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Gpt-4 technical report
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.740482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6151d5f0-9bb4-4d86-98e9-fc7ff67c8c8f · outbound
This paper cites Training language models to follow instructions with human feedback.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Training language models to follow instructions with human feedback
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.720716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0b9a2912-9140-4006-8969-ab5871388564 · outbound
This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.397681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ab8fe06f-5254-42fe-9281-58575fc4fade · outbound
This paper cites Squad: 100,000+ questions for machine comprehension of text.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Squad: 100,000+ questions for machine comprehension of text
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.724507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 18d8e589-4ddc-4a2d-b85d-e354f30e5b7e · outbound
This paper cites Internlm.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Internlm
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.735794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d2e3e2d2-394f-4046-b05f-bd1c02611323 · outbound
This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models FEVER: a large-scale dataset for Fact Extraction and VERification
Reference 72
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.094484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9bf6514a-5cf1-4f39-86fb-05d3c8f08353 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models LLaMA: Open and Efficient Foundation Language Models
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.366393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12435b9b-5f55-49a2-9727-4ae09c88d1a1 · outbound
This paper cites Proceedings of the 2018.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Proceedings of the 2018
Reference 74
- Resolution
- metadata mismatch
- doi, observed 2026-05-16T10:03:59.098487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3f086877-2f1e-44f2-91cd-ee86bbf2cd0e · outbound
This paper cites Superglue: A stickier benchmark for general-purpose language understanding systems.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Superglue: A stickier benchmark for general-purpose language understanding systems
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.757529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a9d818a3-b884-4b38-bfef-3b7826380d7d · outbound
This paper cites From lsat: The progress and challenges of complex reasoning.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models From lsat: The progress and challenges of complex reasoning
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.727175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e7e0ed83-3f32-4c6c-b3f2-afe2dbd938ee · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 77
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.382955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bcf85aca-e9c9-490c-a91b-5ee4cc34586a · outbound
This paper cites OPT: Open Pre-trained Transformer Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models OPT: Open Pre-trained Transformer Language Models
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:03:59.386291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4c12a26a-adaf-41eb-9701-0e88483c06e6 · outbound
This paper cites Automatic Chain of Thought Prompting in Large Language Models.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Automatic Chain of Thought Prompting in Large Language Models
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:39:17.100641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3a2a199e-9a60-4dc3-8da9-f61c1846653d · outbound
This paper cites Jec-qa: A legal-domain question answering dataset.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Jec-qa: A legal-domain question answering dataset
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T10:10:50.729592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bd69c749-c915-49a7-b05f-c5c109380e87 · outbound
This paper cites Analytical reasoning of text.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Analytical reasoning of text
Reference 81
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.101368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 03fa877b-326b-4c22-ba46-2fae0045a960 · outbound
This paper cites an unresolved cited work.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T10:10:50.714389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ab3b8154-9675-4642-a5bf-c6c1aa7d393b · outbound
This paper cites Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers
Reference 83
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.104165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a4e67bf9-8441-4a5a-a2ec-0fa2fd704679 · outbound
This paper cites Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
Reference 84
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.107151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 032ef19b-7e0b-4b5e-8f6a-c1fd2dc0406c · outbound
This paper cites H ate BERT : Retraining BERT for Abusive Language Detection in E nglish.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models H ate BERT : Retraining BERT for Abusive Language Detection in E nglish
Reference 85
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.110275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6bbb9fed-d274-4707-9a09-a45bd33f599e · outbound
This paper cites Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Reference 86
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.113286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d4658c11-1b9c-47d1-9f33-2e05499b2b5a · outbound
This paper cites Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Reference 87
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.115917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 830f09bf-d889-4895-8a9c-7c83090d472f · outbound
This paper cites DALC : the D utch Abusive Language Corpus.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models DALC : the D utch Abusive Language Corpus
Reference 88
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.118550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 90eceacf-ec56-47d7-af81-ce4bb74805ec · outbound
This paper cites and Dulal, Saurab and Koirala, Diwa.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models and Dulal, Saurab and Koirala, Diwa
Reference 89
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.120857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f8d4ca18-85fa-477f-8b1e-992095f15976 · outbound
This paper cites MIN \_ PT : An E uropean P ortuguese Lexicon for Minorities Related Terms.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models MIN \_ PT : An E uropean P ortuguese Lexicon for Minorities Related Terms
Reference 90
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.123500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 87f1d437-2827-454e-aa09-01332a2b4b52 · outbound
This paper cites Fine-Grained Fairness Analysis of Abusive Language Detection Systems with C heck L ist.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Fine-Grained Fairness Analysis of Abusive Language Detection Systems with C heck L ist
Reference 91
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.126081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a438ce5e-44e9-4f87-9313-281e8e6291ff · outbound
This paper cites Improving Counterfactual Generation for Fair Hate Speech Detection.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Improving Counterfactual Generation for Fair Hate Speech Detection
Reference 92
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.129146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9a4de569-3b17-4519-9810-27d09fea88bf · outbound
This paper cites Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon
Reference 93
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.131534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 96de1339-8b1d-4989-a1de-8005801b0fae · outbound
This paper cites Mitigating Biases in Toxic Language Detection through Invariant Rationalization.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Reference 94
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.134410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c8ae52ef-7779-42a0-812d-a3f4844cfe7a · outbound
This paper cites Fine-grained Classification of Political Bias in G erman News: A Data Set and Initial Experiments.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Fine-grained Classification of Political Bias in G erman News: A Data Set and Initial Experiments
Reference 95
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.136789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 274c958d-26ad-434c-9fe7-e55115ea91aa · outbound
This paper cites Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse
Reference 96
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.139242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bb2f7b6f-5349-4428-9352-f12a84e9a4bb · outbound
This paper cites Context Sensitivity Estimation in Toxicity Detection.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Context Sensitivity Estimation in Toxicity Detection
Reference 97
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.141516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b9199c39-3889-4e5a-bb1c-95885278251a · outbound
This paper cites A Large-Scale E nglish Multi-Label T witter Dataset for Cyberbullying and Online Abuse Detection.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models A Large-Scale E nglish Multi-Label T witter Dataset for Cyberbullying and Online Abuse Detection
Reference 98
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.144558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 65c9bad9-4fa3-416c-bb00-4ecc618df2f4 · outbound
This paper cites Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format
Reference 99
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.147830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f5cc10fd-b4ab-415c-85b1-fee0ab1328fb · outbound
This paper cites and H \'e bert-Dufresne, Laurent and Roth, Allison M.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models and H \'e bert-Dufresne, Laurent and Roth, Allison M
Reference 100
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.150099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 223e06c0-2ce6-44c5-899f-22a22fd1efce · outbound
This paper cites Targets and Aspects in Social Media Hate Speech.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Targets and Aspects in Social Media Hate Speech
Reference 101
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.152182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 68ce1835-4606-4bb5-b487-31f1d36ecf11 · outbound
This paper cites Abusive Language on Social Media Through the Legal Looking Glass.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Abusive Language on Social Media Through the Legal Looking Glass
Reference 102
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.154771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fec804b5-2b12-44b5-a068-c28e9f61b2fa · outbound
This paper cites Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection
Reference 103
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.156983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b72c17f0-1090-4f73-be34-172e5f03780a · outbound
This paper cites VL - BERT +: Detecting Protected Groups in Hateful Multimodal Memes.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models VL - BERT +: Detecting Protected Groups in Hateful Multimodal Memes
Reference 104
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.159625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a5ee5f4c-bd93-4234-aefa-7c4278cb278d · outbound
This paper cites Racist or Sexist Meme? Classifying Memes beyond Hateful.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Racist or Sexist Meme? Classifying Memes beyond Hateful
Reference 105
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.161674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 470c38d8-3f6f-48ca-a061-7f05031e48aa · outbound
This paper cites Multimodal or Text? Retrieval or BERT ? Benchmarking Classifiers for the Shared Task on Hateful Memes.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Multimodal or Text? Retrieval or BERT ? Benchmarking Classifiers for the Shared Task on Hateful Memes
Reference 106
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.163828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e3570e05-a656-4a15-af58-58cb564b2b72 · outbound
This paper cites an unresolved cited work.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Unresolved cited work
Reference 107
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T10:10:50.759798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bca6162d-039b-4d9c-8041-29ee21286cbd · outbound
This paper cites Text Simplification for Comprehension-based Question-Answering.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Text Simplification for Comprehension-based Question-Answering
Reference 108
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.165782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 18b935fb-76c2-44c0-a730-b029aef26efc · outbound
This paper cites Finding the needle in a haystack: Extraction of Informative COVID -19 D anish Tweets.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Finding the needle in a haystack: Extraction of Informative COVID -19 D anish Tweets
Reference 109
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.167986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6cb98123-eb58-467c-9357-e1cb0cb67d68 · outbound
This paper cites Detecting Depression in T hai Blog Posts: a Dataset and a Baseline.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Detecting Depression in T hai Blog Posts: a Dataset and a Baseline
Reference 110
- Resolution
- verified exact
- doi, observed 2026-05-16T10:03:59.170033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 26398b59-dc55-4a42-be27-20a95b9237b4 · outbound
This paper cites Keyphrase Extraction with Incomplete Annotated Training Data.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Keyphrase Extraction with Incomplete Annotated Training Data
Reference 111
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0d4bef67-af6d-4ce4-89ed-a86e3e0666c7 · outbound
This paper cites Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks
Reference 112
- Resolution
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5c5c900f-130c-4450-a8d0-0ee8507ac09b · outbound
This paper cites Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks.
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks
Reference 113
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
Observation c1b92dad-805a-47d2-943c-dc989a98b5ff · inbound
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 51
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 96043340-8524-4b05-94fc-ebaf9b2cb6df · inbound
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4ffa988c-4a1e-4c9a-9fca-c8d94dfff545 · inbound
Baichuan 2: Open Large-scale Language Models cites this paper.
Baichuan 2: Open Large-scale Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 82
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f5134d17-bbc2-42da-b71f-ee7cedb4bc28 · inbound
Mistral 7B cites this paper.
Mistral 7B AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9644ed94-4617-459d-9b84-777600b65e97 · inbound
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 76
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 39ee5a74-f36c-49a6-928f-b280709feedf · inbound
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 95
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c718a91d-569f-407a-aaa2-36b2e00374d4 · inbound
The Falcon Series of Open Language Models cites this paper.
The Falcon Series of Open Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 226
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 188b5ec0-8e54-4362-9e77-31e427c34247 · inbound
GPT-4V(ision) is a Generalist Web Agent, if Grounded cites this paper.
GPT-4V(ision) is a Generalist Web Agent, if Grounded AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 29
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Source-reported events for the cited work
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Observation 29c50967-2771-46e4-b630-edde26399d5b · inbound
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 123
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 321e39c8-7012-4f44-9288-52993abeb961 · inbound
Mixtral of Experts cites this paper.
Mixtral of Experts AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4283d2d9-6d40-47f3-9f11-39b38cf5d953 · inbound
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models cites this paper.
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 61
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2906ed29-c1a8-46f8-91f8-639cc21f41b8 · inbound
DeepSeek-VL: Towards Real-World Vision-Language Understanding cites this paper.
DeepSeek-VL: Towards Real-World Vision-Language Understanding AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7403b0e0-3e8f-4a45-ada0-ab469dac8475 · inbound
DeepSeek-VL: Towards Real-World Vision-Language Understanding cites this paper.
DeepSeek-VL: Towards Real-World Vision-Language Understanding AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82f29955-ba9e-46ba-a460-84dd8ebe4ddd · inbound
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 113
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9b4d48db-aefb-4c5d-8d47-bff912511c6e · inbound
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5a7a2327-af5a-4761-b4cc-95eb56ddd36f · inbound
DataComp-LM: In search of the next generation of training sets for language models cites this paper.
DataComp-LM: In search of the next generation of training sets for language models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 220
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 43ffd89b-4280-4515-87bd-f45c3388ec8a · inbound
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence cites this paper.
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f1175dd-89d8-48f6-8840-c3271dc946ba · inbound
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence cites this paper.
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bc643947-5dc4-4ac4-b4fc-a6db1271f161 · inbound
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 78
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3f745850-9722-42c9-9057-9f449b0d9d04 · inbound
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio cites this paper.
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b0186bcc-c37c-48bf-856a-0451e49dfe8d · inbound
Pixtral 12B cites this paper.
Pixtral 12B AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fc4a806a-8251-421b-b9e7-8bbff3c7ca6d · inbound
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis cites this paper.
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 84
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 647feef1-e139-46ad-a26a-5c623538ab62 · inbound
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f964a509-040d-4db2-8c1f-3416831f6264 · inbound
Ultra-Sparse Memory Network cites this paper.
Ultra-Sparse Memory Network AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 44
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6e5e31-3d7e-4320-9336-b964bec2382f · inbound
WavChat: A Survey of Spoken Dialogue Models cites this paper.
WavChat: A Survey of Spoken Dialogue Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 256
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d22f2c5c-8282-44d1-80fa-3335a5a762e1 · inbound
AI Tailoring: Evaluating Influence of Image Features on Fashion Product Popularity cites this paper.
AI Tailoring: Evaluating Influence of Image Features on Fashion Product Popularity AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 72
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 933e5b7d-0a12-4a5c-856b-ba8c7385eca9 · inbound
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation cites this paper.
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 98
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99d56313-9574-4b1c-ba69-f46957e94b90 · inbound
Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement cites this paper.
Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 76
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca57eb6a-6339-4196-ac25-3e59ea525085 · inbound
Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.
Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 156
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 62b94ffd-131f-426f-a166-edd697b32cc1 · inbound
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models cites this paper.
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 92
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks cites this paper.
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 90
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6a8eaea-9549-4d9b-a2f0-5d5f2227275f · inbound
Humanity's Last Exam cites this paper.
Humanity's Last Exam AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 66
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5f9bd9c4-c29c-48c5-8b43-79ba6ed27c83 · inbound
SedarEval: Automated Evaluation using Self-Adaptive Rubrics cites this paper.
SedarEval: Automated Evaluation using Self-Adaptive Rubrics AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b974884a-c6ad-4b33-8195-5f424185ed2b · inbound
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models cites this paper.
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 77
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation daa1fa42-6884-49d6-8aee-e3ace2c9d895 · inbound
Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons cites this paper.
Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04cf8462-dd02-4483-b395-4a7ed7672cdc · inbound
Minerva: A Programmable Memory Test Benchmark for Language Models cites this paper.
Minerva: A Programmable Memory Test Benchmark for Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d28b1695-489b-4888-b3ea-8132217b6286 · inbound
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 87
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f86f630-1d5a-440f-a596-014d8a74a2cc · inbound
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities cites this paper.
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 90
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5d8497d-01d9-4a05-9ebb-a9209b335a59 · inbound
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 88
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d83edae-8300-418e-804e-c3c73be701fb · inbound
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cites this paper.
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c8ebcec-b078-4056-813b-4508d264d1df · inbound
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 135
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 16882dc6-a0b9-46f2-89f8-3a2bbe4acf2b · inbound
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning cites this paper.
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c1b08166-55b0-4707-a035-6f4afef9ae04 · inbound
Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark cites this paper.
Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 509a881e-5b88-4ba7-a0a5-e4b37d78091d · inbound
PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.
PRIMETIME : Limits of LLMs in Temporal Primitives AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 72835dbc-ee36-4493-b095-d9e9e6bb973f · inbound
Computational Reasoning of Large Language Models cites this paper.
Computational Reasoning of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1ebe5d4-d1d6-4bed-81cb-46131d2f3664 · inbound
LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models cites this paper.
LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 100
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37fdae11-9ece-4c3e-95b9-a05642bae739 · inbound
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection cites this paper.
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c043601c-eeb7-43f9-8df0-5a99280050f5 · inbound
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches cites this paper.
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b1e8266-5f36-4f91-a04c-7406a32ca961 · inbound
Learnware of Language Models: Specialized Small Language Models Can Do Big cites this paper.
Learnware of Language Models: Specialized Small Language Models Can Do Big AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 2021
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba8898d5-c2c4-4162-b806-bda2c55114b5 · inbound
STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs cites this paper.
STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d561a2b8-71af-4af8-9935-20e64dd06527 · inbound
SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.
SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6e092f6-a6c0-4566-b94f-c61256041fe3 · inbound
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese cites this paper.
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 65
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad62654-f98b-45a0-bf83-193d3f8d7827 · inbound
Scalable Complexity Control Facilitates Reasoning Ability of LLMs cites this paper.
Scalable Complexity Control Facilitates Reasoning Ability of LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 87
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdf12970-07b3-43f0-bc47-85ff7762fa00 · inbound
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a51f984-734b-48f9-8dd8-7f7e50eb66dd · inbound
MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation cites this paper.
MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14fa1b8e-c9e3-4b9e-bee5-e79f7b5912ee · inbound
PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs cites this paper.
PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 075b5f16-5f97-4571-9558-5dd63cd38c43 · inbound
dots.llm1 Technical Report cites this paper.
dots.llm1 Technical Report AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e48c119-0629-4f5a-8bfa-b655e45f50ab · inbound
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models cites this paper.
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79826531-a36f-4f8f-b079-f7eb5785f4f9 · inbound
Towards Efficient and Effective Alignment of Large Language Models cites this paper.
Towards Efficient and Effective Alignment of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 212
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73a841bc-ceb5-48fe-aa7d-35c89d7577a5 · inbound
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 73bcba91-64fb-4d43-a1be-866f254414ef · inbound
SciDA: Scientific Dynamic Assessor of LLMs cites this paper.
SciDA: Scientific Dynamic Assessor of LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aadeb1d5-8c85-45ca-b4f5-08ad8ebee611 · inbound
EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration cites this paper.
EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcb23d56-9a47-4491-989f-80b31d02cb38 · inbound
Enterprise Large Language Model Evaluation Benchmark cites this paper.
Enterprise Large Language Model Evaluation Benchmark AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50807dba-7958-4801-9fed-e72e7dd5388d · inbound
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 117
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26e3890a-8731-4577-bf06-166dddb40dd1 · inbound
BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining cites this paper.
BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38d67280-fd08-438e-b4fd-f0f2b2311890 · inbound
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 200
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7aba488e-f72e-4576-8720-e8087df009fc · inbound
Think Clearly: Improving Reasoning via Redundant Token Pruning cites this paper.
Think Clearly: Improving Reasoning via Redundant Token Pruning AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 2023
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4642143-8cdc-4e24-b437-e5b07ca4e934 · inbound
HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong cites this paper.
HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 62
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9db48035-c307-4261-a317-ce17b6f69174 · inbound
Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.
Language Models Improve When Pretraining Data Matches Target Tasks AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 121
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 601dc364-a39a-4d5d-bd0c-df744309b6d7 · inbound
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 130
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 336f7a07-a1a9-4885-9ce8-204c9c234a51 · inbound
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) cites this paper.
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad27a3f7-0084-4515-b40b-a8492c15271f · inbound
Kimi K2: Open Agentic Intelligence cites this paper.
Kimi K2: Open Agentic Intelligence AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 94
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2a5e72e7-5d37-4721-9dd3-7f6e9217b879 · inbound
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models cites this paper.
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T03:22:01.336650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ec54b7b3-8a57-4a66-9565-59282b8f0699 · inbound
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 50
- Resolution
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- no resolver link, observed 2026-08-05T21:55:12.954012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86b9a7dc-8f49-4687-b24a-d7210756fdae · inbound
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models cites this paper.
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dd2f60a-b4a4-4803-8b55-5ed589bf5855 · inbound
ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models cites this paper.
ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54363329-7bcf-438b-bfc4-dce5d3080fcb · inbound
Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models cites this paper.
Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 2023
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7828047d-0797-4a6d-9b9a-37881801c231 · inbound
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation cites this paper.
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 70
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dde716a-4b75-4d50-b822-de3b1a0e9cca · inbound
UQ: Assessing Language Models on Unsolved Questions cites this paper.
UQ: Assessing Language Models on Unsolved Questions AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 67
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19697ec8-1d39-4cfa-9c0f-2a9f8313185c · inbound
How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding cites this paper.
How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 2022
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 060cab31-313c-40c3-9f4c-a3b8396c4f00 · inbound
UI-Bench: A Benchmark for Evaluating Design Capabilities of AI Text-to-App Tools cites this paper.
UI-Bench: A Benchmark for Evaluating Design Capabilities of AI Text-to-App Tools AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ed317f5-0155-49f9-b430-d44a63db8f32 · inbound
Position: AI Evaluations Should be Grounded on a Theory of Capability cites this paper.
Position: AI Evaluations Should be Grounded on a Theory of Capability AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T22:00:41.543036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5883d43e-d7bb-472c-a274-a212bbdc59ff · inbound
Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models cites this paper.
Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 25
- Resolution
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- local_arxiv, observed 2026-05-21T21:45:40.615196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 88f763f2-ef0f-4d89-af4b-a892cf39b52a · inbound
Dr.LLM: Dynamic Layer Routing in LLMs cites this paper.
Dr.LLM: Dynamic Layer Routing in LLMs AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:04:20.318861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d083d6e9-23c5-40ac-9d7e-5de221cd30fd · inbound
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners cites this paper.
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T11:01:17.080772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ba35216e-37b0-419b-8430-b27ba4c611e8 · inbound
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models cites this paper.
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T21:38:34.178169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a77233d4-f2aa-48e9-b4e8-4bad0640a905 · inbound
Ministral 3 cites this paper.
Ministral 3 AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3a0c1391-dc27-491e-a871-4bc359d5d02f · inbound
Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study cites this paper.
Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0910937-4558-4948-90de-e21ad3005511 · inbound
SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy cites this paper.
SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea78a68-21b2-43a5-a1fe-e961d5eda5a1 · inbound
The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.
The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9ca77fdd-8654-4f51-868d-f0caa031e0fe · inbound
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4dac4e0d-3f34-4c37-95a9-13fc45d49019 · inbound
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 58ab0514-50af-41b4-88be-d962e572afc3 · inbound
"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation cites this paper.
"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3d130690-2278-4685-82da-9f183a0feb22 · inbound
Human-Grounded Multimodal Benchmark with 900K-Scale Aggregated Student Response Distributions from Japan's National Assessment of Academic Ability cites this paper.
Human-Grounded Multimodal Benchmark with 900K-Scale Aggregated Student Response Distributions from Japan's National Assessment of Academic Ability AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T10:03:59.570579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 572da502-e57c-4723-8c76-364e78efbe62 · inbound
Confidence Calibration in Large Language Models cites this paper.
Confidence Calibration in Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T13:23:25.998584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31646264-be84-400e-a269-aefcba1406d4 · inbound
Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.
Do Value Vectors in Deep Layers Need Context from the Residual Stream? AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 110
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:16:23.517497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9176bcae-832f-49ed-944d-319fa2b21f7f · inbound
Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.
Do Value Vectors in Deep Layers Need Context from the Residual Stream? AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:41:24.460278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a23a1af6-d019-4ad3-a5ed-41e18f5a409f · inbound
The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers cites this paper.
The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:13:30.266780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cc2f04a1-ac84-44b1-a783-a66334d63b63 · inbound
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 245
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:47:25.972501Z
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Observation 1aeeb5e2-0e18-4e45-92f0-ee6cf38d01b4 · inbound
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Reference 247
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:05:18.407055Z
Source-reported events for the cited work
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